A mixed approach of revision in propositional calculus

2005 ◽  
pp. 296-303 ◽  
Author(s):  
Odile Papini ◽  
Antoine Rauzy
Keyword(s):  
Propositional Calculus ◽  
Mixed Approach

Persepsi Dan Partisipasi Pengunjung Terhadap Permasalahan Sampah Laut (Marine Debris) Di Pantai Temberan Kabupaten Bangka Dan Pantai Pasir Padi Pangkalpinang

2020 ◽  
Vol 3 (1) ◽  
pp. 11-20
Author(s):  
Siska Oktavia ◽  
Wahyu Adi ◽  
Aditya Pamungkas
Keyword(s):  
Data Collection ◽  
Random Sampling ◽  
Sampling Technique ◽  
Marine Debris ◽  
Reliability Test ◽  
Validity Test ◽  
Data Collection Technique ◽  
Mixed Approach ◽  
Relationship Of ◽  
The Relationship

This study aims to analyze the value of the density of marine debris, perceptions and participation in Temberan beach and Pasir Padi beach, as well as determine the relationship of perception and participation to the density of marine debris. This research is a type of research that is descriptive with a mixed approach (quantitative and qualitative). The study was conducted at Temberan beach in Bangka Regency and Pasir Pasir Beach Pangkal Pinang in October 2019. The sampling technique used was random sampling and purposive sampling. The data collection technique was carried out using observation technique namely sampling and questionnaire. The validity test uses the Pearson Product Moment formula and the reliability test uses the Cronbach’s Alpha formula. The results showed that the density of debris in the Temberan beach was more dominant at 10.92 pieces/meter2, while at Temberan beach 3 pieces/meter2. The results of perception and participation are different, with the Temberan beach occupying more complex waste problems. The relationship of perception and participation in the density of marine debris have a relationship that affects each other.

A mixed approach for Chinese word segmentation

2014 ◽  
Author(s):  
Zhen Wang
Keyword(s):  
Word Segmentation ◽  
Chinese Word ◽  
Chinese Word Segmentation ◽  
Mixed Approach

Ascertaining the Role of Leadership on Employee Satisfaction in Market and Social Research Industries in Gauteng Province of South Africa Using Qualitative Research

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Kingstone Mutsonziwa ◽  
Philip Serumaga-Zake
Keyword(s):  
South Africa ◽  
Employee Satisfaction ◽  
Quantitative Research ◽  
Social Research ◽  
Labour Productivity ◽  
Working Environment ◽  
Gauteng Province ◽  
Career Growth ◽  
Quantitative Results ◽  
Mixed Approach

This paper is based on the study a Doctor of Business Leadership (DBL) thesis titled A Statistical Model for Employee Satisfaction in the Market and Social Research Industries in Gauteng Province. The purpose of this study was to identify the attributes that affect employee satisfaction in the Market and Social Research Industries in Gauteng Province, South Africa. In order to address the overall objective of this study, the researcher used a two-tiered (mixed) approach in which both qualitative and quantitative research methodologies were used to complement and enrich the results. This paper is only based on the qualitative component of the study on leadership aspects based on six leaders (two from Social research and four from Market research) that were interviewed. The leaders were selected based on their knowledge of the industry and the expertise they have. Participation in the survey was voluntary. This paper illustrates the power of the qualitative techniques to uncover or unmask the leadership aspects in the Market and Social Research Industries and also gives the human touch to the quantitative results. It was found that leadership and management within the Market and Social Research Industries in Gauteng Province must ensure that they are accommodative in terms of mentoring their subordinates. The industry is driven by quality driven processes and strong leadership. More importantly, issues of a good working environment, remuneration, career growth, and recognition must always be addressed in order to increase employee satisfaction, reduce staff turnover, and attempt to optimize labour productivity. The qualitative findings also help a deeper understanding of leadership within the industry.

Social media bots as active disseminators of COVID-19 news (Preprint)

2020 ◽  
Author(s):  
Ahmed Al-Rawi ◽  
Vishal Shukla
Keyword(s):  
Social Media ◽  
Financial Incentives ◽  
Total Sample ◽  
Breaking News ◽  
Mainstream Media ◽  
Social Nature ◽  
Credible Information ◽  
Mixed Approach ◽  
Standard Terms ◽  
Official Sources

BACKGROUND In this study, we examined the activities of automated social media accounts or bots that tweet or retweet referencing #COVID-19 and #COVID19. OBJECTIVE The purpose of this study is to identify bot accounts to understand the nature of messages sent by them on COVID-19. Social media bots have been widely discussed in academic literature as some kind of moral panic mostly in relation to spreading controversial and politically polarized messages or in connection to problematic health bots (Broniatowski et al., 2018; Allem & Ferrara, 2018). The findings of this study, however, show that bots that reference COVID-19 mostly mention mainstream media and credible health sources while spreading breaking news on the pandemic or urging people to stay at home. These results align with previous research on the possible benefits, advantages, or possibilities afforded by the use of health chatbots (Brandtzaeg & Følstad, 2018; Skjuve & Brandtzæg, 2018; Kretzschmar et al., 2019; Greer et al., 2019). METHODS We used a mixed approach mostly comprised of several digital methods in this study. First, we collected 50,811,299 tweets and retweets referencing #COVID-19 and #COVID19 for a period of over two months from February 12 until April 18, 2020. We focused on these two hashtags because they are standard terms used by WHO and other official sources. From a total sample of over 50 million tweets, we used a mixed method to extract more than 185,000 messages posted by 127 bots. RESULTS Unlike the literature on health bots that associate them with anti-social activities, our findings show that the majority of these bots tweet, retweet and mention mainstream media outlets and credible official sources, promote health protection and telemedicine, and disseminate breaking news on the number of casualties and deaths caused by COVID-19. CONCLUSIONS Despite that some literature on social media bots highlight the controversial and anti-social nature of automated accounts, the findings of this study show that the majority of bots spread news on and awareness of COVID-19 risks while citing and referencing mainstream media outlets and credible health sources. We argue that there might be financial incentives behind designing some of these bots. However and if monitored and updated with credible information by health agencies themselves, we believe that bots can be useful during health crises due to their efficiency and speed in spreading valuable information, some of which is crucial for public health. CLINICALTRIAL N/A

Corrections for "On the lengths of proofs in the propositional calculus preliminary version"

1974 ◽  
Vol 6 (3) ◽  
pp. 15-22 ◽  
Author(s):  
Stephen Cook ◽  
Robert Reckhow
Keyword(s):  
Propositional Calculus ◽  
Preliminary Version

scholarly journals Online Foreign Language Learning in Higher Education and Its Correlates during the COVID-19 Pandemic

2021 ◽  
Vol 13 (2) ◽  
pp. 781
Author(s):  
Maria-Anca Maican ◽  
Elena Cocoradă
Keyword(s):  
Higher Education ◽  
Foreign Language ◽  
Language Learning ◽  
Language Proficiency ◽  
Foreign Language Learning ◽  
Protective Role ◽  
Teacher Student ◽  
Quantitative Results ◽  
Mixed Approach ◽  
Student Relationship

During the COVID-19 pandemic, the online learning of foreign languages at higher education level has represented a way to adapt to the restrictions imposed worldwide. The aim of the present article is to analyse university students’ behaviours, emotions and perceptions associated to online foreign language learning during the pandemic and their correlates by using a mixed approach. The research used the Foreign Language Enjoyment (FLE) scale and tools developed by the authors, focusing on task value, self-perceived foreign language proficiency, stressors and responses in online foreign language learning during the pandemic. Some of the results, such as the negative association between anxiety and FLE, are consistent with those revealed in studies conducted in normal times. Other results are novel, such as the protective role of retrospective enjoyment in trying times or the higher level of enjoyment with lower-achieving students. Reference is made to students’ preferences for certain online resources during the pandemic (e.g., preference for PowerPoint presentations) and to their opinions regarding the use of entirely or partially online foreign language teaching in the post-COVID period. The quantitative results are fostered by the respondents’ voices in the qualitative research. The consequences of these results are discussed with respect to the teacher-student relationship in the online environment and to the implications for sustainable online foreign language learning.

scholarly journals Three faces of the online leftists: An exploratory study based on case observations and big-data analysis

2020 ◽  
Vol 6 (1) ◽  
pp. 67-101
Author(s):  
Yong Gui ◽  
Ronggui Huang ◽  
Yi Ding
Keyword(s):  
Big Data ◽  
Big Data Analytics ◽  
Strong Support ◽  
Negative Attitude ◽  
Two Dimensions ◽  
Supervised Machine Learning ◽  
Interaction Patterns ◽  
Left Wing ◽  
Mixed Approach ◽  
Method Approach

Left-leaning social thoughts are not a unitary and coherent theoretical system, and leftists can be divided into divergent groups. Based on inductive qualitative observations, this article proposes a theoretical typology of two dimensions of theoretical resources and position orientations to describe left-wing social thoughts communicated in online space. Empirically, we used a mixed approach, an integration of case observations and big-data analyses of Weibo tweets, to investigate three types of left-leaning social thoughts. The identified left-leaning social thoughts include state-centered leftism, populist leftism, and liberal leftism, which are consistent with the proposed theoretical typology. State-centered leftism features strong support of the state and the current regime and a negative attitude toward the West, populist leftism is characterized by unequivocal affirmation of the revolutionary legacy and support for disadvantaged grassroots, and liberal leftism harbors a grassroots position and a decided affirmation of individual rights. In addition, we used supervised machine learning and social network analysis techniques to identify online communities that harbor the afore-mentioned left-leaning social thoughts and analyzed the interaction patterns within and across communities as well as the evolutions of community structures. We found that during the study period of 2012–2014, the liberal leftists gradually declined and the corresponding communities dissolved; the interactions between populist leftists and state-centered leftists intensified, and the ideational cleavage between these two camps increased the online confrontations. This article demonstrates that the mixed method approach of integrating traditional methods with big-data analytics has enormous potential in the sub-discipline of digital sociology.

Social representations of sharks, perceived communality, and attitudinal and behavioral tendencies towards their conservation: An exploratory sequential mixed approach

Marine Policy ◽  
2021 ◽  
Vol 132 ◽  
pp. 104660
Author(s):  
João Neves ◽  
Jean-Christophe Giger ◽  
Nuno Piçarra ◽  
Vasco Alves ◽  
Joana Almeida
Keyword(s):  
Social Representations ◽  
Behavioral Tendencies ◽  
Mixed Approach
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